Demographic, Clinical, and Psychosocial Predictors of Exercise Adherence: The STRRIDE Trials.

Autor:	Collins KA; Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC., Huffman KM; Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC.; Division of Rheumatology and Immunology, Duke University School of Medicine, Durham, NC., Wolever RQ; Department of Physical Medicine and Rehabilitation, Vanderbilt University School of Medicine, Nashville, TN., Smith PJ; Department of Psychiatry, the University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC., Ross LM; Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC., Siegler IC; Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC., Jakicic JM; Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS., Costa PT; Department of Medicine, Division of Geriatrics, Duke University School of Medicine, Durham, NC., Kraus WE; Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC.; Division of Cardiology, Duke University School of Medicine, Durham, NC.
Jazyk:	angličtina
Zdroj:	Translational journal of the American College of Sports Medicine [Transl J Am Coll Sports Med] 2023 Summer; Vol. 8 (3). Date of Electronic Publication: 2023 Jun 05.
DOI:	10.1249/tjx.0000000000000229
Abstrakt:	Purpose: To identify baseline demographic, clinical, and psychosocial predictors of exercise intervention adherence in the Studies of a Targeted Risk Reduction Intervention through Defined Exercise (STRRIDE) trials. Methods: A total of 947 adults with dyslipidemia or prediabetes were enrolled into an inactive control group or one of ten exercise interventions with doses of 10-23 kcal/kg/week, intensities of 40-80% of peak oxygen consumption, and training for 6-8-months. Two groups included resistance training. Mean percent aerobic and resistance adherence were calculated as the amount completed divided by the prescribed weekly minutes or total sets of exercise times 100, respectively. Thirty-eight clinical, demographic, and psychosocial measures were considered for three separate models: 1) clinical + demographic factors, 2) psychosocial factors, and 3) all measures. A backward bootstrapped variable selection algorithm and multiple regressions were performed for each model. Results: In the clinical and demographic measures model ( n =947), variables explained 16.7% of the variance in adherence (p<0.001); lesser fasting glucose explained the greatest amount of variance (partial R 2 = 3.2%). In the psychosocial factors model ( n =561), variables explained 19.3% of the variance in adherence (p<0.001); greater 36-Item Short Form Health Survey (SF-36) physical component score explained the greatest amount of variance (partial R 2 = 8.7%). In the model with all clinical, demographic, and psychosocial measures ( n =561), variables explained 22.1% of the variance (p<0.001); greater SF-36 physical component score explained the greatest amount of variance (partial R 2 = 8.9%). SF-36 physical component score was the only variable to account for >5% of the variance in adherence in any of the models. Conclusions: Baseline demographic, clinical, and psychosocial variables explain approximately 22% of the variance in exercise adherence. The limited variance explained suggests future research should investigate additional measures to better identify participants who are at risk for poor exercise intervention adherence. Competing Interests: J.M.J. is on the Scientific Advisory Board for Wondr Health, Inc.; is a consultant for Education Initiatives, Inc.; and is the principal investigator for a research contract provided to the University of Kansas Medical Center by Epitomee Medical, Inc. R.Q.W. is on the Scientific Advisory Board for Wondr Health, Inc.; is a consultant for Fullfill, Inc.; is the principal investigator for a contract between Meharry Medical College and Vanderbilt University Medical Center; and is the principal investigator for a contract between Coalition for Better Health and Vanderbilt University Medical Center. For remaining authors no conflicts of interest were declared. STRRIDE I (NCT00200993) and STRRIDE AT/RT (NCT00275145) were funded by National Heart, Lung, and Blood Institute grant HL-057354. STRRIDE-PD (NCT00962962) was funded by National Institute of Diabetes and Digestive and Kidney Diseases grant DK-081559. K.A.C. is supported by National Human Genome Research Institute-1 T32 HG008955-01.
Databáze:	MEDLINE
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